Sr. Graphic Designer

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

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Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

About Us

We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analysing customer interactions at scale. We assist across multiple voice and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.

Problem we are solving

In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction.

Responsibilities:

• Serve as the lead point of contact for all customer account management matters
• Build and maintain strong, long-lasting client relationships
• Negotiate contracts and close agreements to maximize profits
• Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors
• Ensure the timely and successful delivery of our solutions according to customer needs and objectives
• Clearly communicate the progress of monthly/quarterly initiatives to internal and external stakeholders
• Develop new business with existing clients and/or identify areas of improvement to meet sales quotas
• Forecast and track key account metrics (e.g. quarterly sales results and annual forecasts)
• Prepare reports on account status.
• Good knowledge of SaaS and IT sales.
• Collaborate with sales team to identify and grow opportunities within territory
• Assist with challenging client requests or issue escalations as needed

Requirements and skills

• Proven work experience as an Account Manager, Key Account Manager, Sales Account Manager, Junior Account Manager or relevant role
• Demonstrable ability to communicate, present and influence key stakeholders at all levels of an organization, including executive and C-level
• Solid experience with CRM software and MS Office (particularly MS Excel)
• Experience delivering client-focused solutions to customer needs
• Proven ability to juggle multiple account management projects at a time, while maintaining sharp attention to detail
• Excellent listening, negotiation and presentation abilities
• Strong verbal and written communication skills
• BA/BS degree in Business Administration, Sales or relevant field

Life at Rezo.AI

• We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
• A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
• Practice autonomy, open communication, growth opportunities, while maintaining a perfect work-life balance.
• Go on company-sponsored offsites, and blow off steam with your work buddies.

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

• eact.js Developer Requirements:

  • Bachelor’s degree in computer science, information technology, or a similar field.
  • Previous experience working as a react.js developer.
  • In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
  • Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
  • Experience with user interface design.
  • Knowledge of performance testing frameworks including Mocha and Jest.
  • Experience with browser-based debugging and performance testing software.
  • Excellent troubleshooting skills.
  • Good project management skills.